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Abstract : |
Abstract. Bid evaluation in a multi-agent automated contracting environment presents a challenging search problem. We introduce a multicriterion, anytime bid evaluation strategy that incorporates cost, task coverage, temporal feasibility, and risk estimation into a simulated annealing framework. We report on an experimental evaluation using a set of increasingly informed search heuristics within simulated annealing. The results show that excess focus on improvement leads to faster improvement early on, at the cost of a lower likelihood of nding a solution that satis es all the constraints. The most successful approach was an interleaving of random and focused selectors. 1, |
